81 citations · 540 across the 31 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
stat.ML2018★ 10 cited
Learning deep kernels for exponential family densities
Li Wenliang, Danica J. Sutherland, Heiko Strathmann +1
The kernel exponential family is a rich class of distributions, which can be fit efficiently and with statistical guarantees by score matching. Being required to choose a priori a…
stat.ML2018★ 52 cited
On gradient regularizers for MMD GANs
Michael Arbel, Danica J. Sutherland, Mikołaj Bińkowski +1
We propose a principled method for gradient-based regularization of the critic of GAN-like models trained by adversarially optimizing the kernel of a Maximum Mean Discrepancy (MMD)…